Improving the signal-to-noise ratio of superresolution imaging based on single-pixel camera
文献类型：期刊论文
| 作者 | Wei, Ziran1,2,3; Zhang, Jianlin3; Xu, Zhiyong3; Liu, Yong2; Huang, Yongmei3; Fan, Xiangsuo1,2,3 |
| 刊名 | IEEE Photonics Journal
 |
| 出版日期 | 2019-02-01 |
| 卷号 | 11期号:1 |
| 关键词 | Single pixel camera super resolution sparse representation measurement matrix image reconstruction |
| ISSN号 | 1943-0655 |
| DOI | 10.1109/JPHOT.2019.2891061 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Based on the theories of single-pixel camera and compressed sensing image reconstruction, the sparse basis, the projection method of measurement matrix, and the signal reconstruction algorithm are optimized. First, for the sparse representation of image, the restraint matrix is designed combining the characteristics of wavelet sparse coefficients to enhance the sparse representation ability of the discrete wavelet base, which improves the quality of image reconstruction and imaging by single-pixel camera. Then, in the single-pixel camera system, the projection method is improved according to the characteristics of the digital mirror device micromirror, and a new bilateral projection method based on the block diagonal measurement matrix is proposed to realize the superresolution imaging of the outdoor scene, reducing the number of measurement and improving the imaging quality. Finally, for the algorithm of image reconstruction, combining the characteristics of convex optimization and nonconvex optimization algorithms, a new algorithm from convex optimization approximately to nonconvex optimization algorithm is proposed, and compared with the traditional image reconstruction algorithm, such as greedy pursuit algorithm, minimum norm algorithm, and image interpolation, the peak signal-to-noise ratio and imaging quality of reconstructed images are effectively improved. The feasibility of the proposed methods is demonstrated by simulation experiments and imaging experiments of single-pixel camera. © 2018 IEEE. |
| WOS关键词 | RECOVERY |
| WOS研究方向 | Engineering, Electrical & Electronic ; Optics ; Physics, Applied |
| 语种 | 英语 |
| WOS记录号 | WOS:000456943900001 |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/9701]  |
| 专题 | 光电技术研究所_光电探测与信号处理研究室（五室） |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing; 100039, China 2.School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu; 610054, China; 3.Institute of Optics and Electronics, Chinese Academy of Science, Chengdu; 610209, China; |
| 推荐引用方式 GB/T 7714 | Wei, Ziran,Zhang, Jianlin,Xu, Zhiyong,et al. Improving the signal-to-noise ratio of superresolution imaging based on single-pixel camera[J]. IEEE Photonics Journal,2019,11(1). |
| APA | Wei, Ziran,Zhang, Jianlin,Xu, Zhiyong,Liu, Yong,Huang, Yongmei,&Fan, Xiangsuo.(2019).Improving the signal-to-noise ratio of superresolution imaging based on single-pixel camera.IEEE Photonics Journal,11(1). |
| MLA | Wei, Ziran,et al."Improving the signal-to-noise ratio of superresolution imaging based on single-pixel camera".IEEE Photonics Journal 11.1(2019). |
入库方式： OAI收割
来源：光电技术研究所
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